Instructions to use xiaoyaoes/modelscan-memtrack-bypass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use xiaoyaoes/modelscan-memtrack-bypass with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://xiaoyaoes/modelscan-memtrack-bypass") - Notebooks
- Google Colab
- Kaggle
xiaoyaoes commited on
Commit ·
ff01136
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Parent(s): 6a6b90b
Add MEMOIZE tracking bypass PoC files
Browse files- README.md +4 -0
- memtrack_bypass.keras +0 -0
- memtrack_bypass.pkl +0 -0
README.md
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# ModelScan MEMOIZE Tracking Bypass PoC
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Security research - MFV bypass demonstration.
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This file passes ModelScan with 'No issues found' but executes arbitrary code on load.
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memtrack_bypass.keras
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Binary file (566 Bytes). View file
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memtrack_bypass.pkl
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Binary file (69 Bytes). View file
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